| 基于BSP并行计算模型的并行微粒群算法 |
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| 引用本文： | 王元元,Zeng Jianchao,谭瑛.基于BSP并行计算模型的并行微粒群算法[J].计算机应用与软件,2008,25(8). |
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| 作者姓名： | 王元元 Zeng Jianchao 谭瑛 |
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| 作者单位： | 太原科技大学系统仿真与计算机应用研究所,山西,太原,030024 |
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| 基金项目： | 教育部科学技术研究项目 |
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| 摘 要： | 在对标准微粒群算法分析的基础上,将它与BSP并行计算模型相结合,设计并实现了一种基于BSP并行计算模型的并行微粒群算法.这种基于BSP并行计算模型的并行微粒群算法改变了标准微粒群算法的结构,提高了算法求解效率.实验结果表明,该并行算法的性能比标准微粒群算法有了很大的提高.
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| 关 键 词： | 演化计算 BSP并行计算模型 微粒群算法 |
PARALLEL PARTICLE SWARM OPTIMIZATION ALGORITHM BASED ON BSP PARALLEL MODEL |
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| Wang Yuanyuan,Zeng Jianchao,Tan Ying.PARALLEL PARTICLE SWARM OPTIMIZATION ALGORITHM BASED ON BSP PARALLEL MODEL[J].Computer Applications and Software,2008,25(8). |
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| Authors: | Wang Yuanyuan Zeng Jianchao Tan Ying |
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| Affiliation: | Wang Yuanyuan Zeng Jianchao Tan Ying(Institute of System Simulation , Computer Application,Taiyuan University of Science , Technology,Taiyuan 030024,Shanxi,China) |
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| Abstract: | Based on the analysis of the standard PSO and the combination of standard PSO with BSP parallel model,a parallel particle swarm optimization algorithm based on the BSP parallel model(BSPPSO) is designed and implemented.The BSPPSO changes the structure of standard PSO,and the efficiency of the algorithm is improved.The experimental results show that the performance of the proposed parallel algorithm is better than that of the standard PSO. |
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| Keywords: | Evolutionary computation BSP parallel model PSO |
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